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Panda S, Morgan J, Cheng C, Saito M, Gilman RH, Ciobanu N, Crudu V, Catanzaro DG, Catanzaro A, Rodwell T, Perera JSB, Chathuranga T, Gunasena B, DeSilva AD, Peters B, Sette A, Lindestam Arlehamn CS. Identification of differentially recognized T cell epitopes in the spectrum of tuberculosis infection. Nat Commun 2024; 15:765. [PMID: 38278794 PMCID: PMC10817963 DOI: 10.1038/s41467-024-45058-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 01/12/2024] [Indexed: 01/28/2024] Open
Abstract
There is still incomplete knowledge of which Mycobacterium tuberculosis (Mtb) antigens can trigger distinct T cell responses at different stages of infection. Here, a proteome-wide screen of 20,610 Mtb-derived peptides in 21 patients mid-treatment for active tuberculosis (ATB) reveals IFNγ-specific T cell responses against 137 unique epitopes. Of these, 16% are recognized by two or more participants and predominantly derived from cell wall and cell processes antigens. There is differential recognition of antigens, including TB vaccine candidate antigens, between ATB participants and interferon-gamma release assay (IGRA + /-) individuals. We developed an ATB-specific peptide pool (ATB116) consisting of epitopes exclusively recognized by ATB participants. This pool can distinguish patients with pulmonary ATB from IGRA + /- individuals from various geographical locations, with a sensitivity of over 60% and a specificity exceeding 80%. This proteome-wide screen of T cell reactivity identified infection stage-specific epitopes and antigens for potential use in diagnostics and measuring Mtb-specific immune responses.
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Affiliation(s)
- Sudhasini Panda
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Jeffrey Morgan
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Catherine Cheng
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Mayuko Saito
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Robert H Gilman
- Johns Hopkins School of Public Health, Baltimore, MD, USA
- Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Nelly Ciobanu
- Phthisiopneumology Institute, Chisinau, Republic of Moldova
| | - Valeriu Crudu
- Phthisiopneumology Institute, Chisinau, Republic of Moldova
| | - Donald G Catanzaro
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
| | - Antonino Catanzaro
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Timothy Rodwell
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Judy S B Perera
- Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka
| | - Teshan Chathuranga
- Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka
| | - Bandu Gunasena
- National Hospital for Respiratory Diseases, Welisara, Sri Lanka
| | - Aruna D DeSilva
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
- Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka
| | - Bjoern Peters
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
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2
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Panda S, Morgan J, Cheng C, Saito M, Gilman RH, Ciobanu N, Crudu V, Catanzaro DG, Catanzaro A, Rodwell T, Perera JS, Chathuranga T, Gunasena B, DeSilva AD, Peters B, Sette A, Lindestam Arlehamn CS. Identification of differentially recognized T cell epitopes in the spectrum of Mtb infection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.12.536550. [PMID: 37090558 PMCID: PMC10120689 DOI: 10.1101/2023.04.12.536550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Tuberculosis caused by Mycobacterium tuberculosis is one of the leading causes of death from a single infectious agent. Identifying dominant epitopes and comparing their reactivity in different tuberculosis (TB) infection states can help design diagnostics and vaccines. We performed a proteome-wide screen of 20,610 Mtb derived peptides in 21 Active TB (ATB) patients 3-4 months post-diagnosis of pulmonary TB (mid-treatment) using an IFNγ and IL-17 Fluorospot assay. Responses were mediated exclusively by IFNγ and identified a total of 137 unique epitopes, with each patient recognizing, on average, 8 individual epitopes and 22 epitopes (16%) recognized by 2 or more participants. Responses were predominantly directed against antigens part of the cell wall and cell processes category. Testing 517 peptides spanning TB vaccine candidates and ESAT-6 and CFP10 antigens also revealed differential recognition between ATB participants mid-treatment and healthy IGRA+ participants of several vaccine antigens. An ATB-specific peptide pool consisting of epitopes exclusively recognized by participants mid-treatment, allowed distinguishing participants with active pulmonary TB from healthy interferon-gamma release assay (IGRA)+/- participants from diverse geographical locations. Analysis of longitudinal samples indicated decreased reactivity during treatment for pulmonary TB. Together, these results show that a proteome-wide screen of T cell reactivity identifies epitopes and antigens that are differentially recognized depending on the Mtb infection stage. These have potential use in developing diagnostics and vaccine candidates and measuring correlates of protection.
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Affiliation(s)
- Sudhasini Panda
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Jeffrey Morgan
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Catherine Cheng
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
| | - Mayuko Saito
- Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Robert H. Gilman
- Johns Hopkins School of Public Health, Baltimore, MD, USA
- Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Nelly Ciobanu
- Phthisiopneumology Institute, Chisinau, Republic of Moldova
| | - Valeriu Crudu
- Phthisiopneumology Institute, Chisinau, Republic of Moldova
| | - Donald G Catanzaro
- Department of Biological Sciences, University of Arkansas, Fayetteville, AR, USA
| | - Antonino Catanzaro
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Timothy Rodwell
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Judy S.B. Perera
- Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka
| | - Teshan Chathuranga
- Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka
| | - Bandu Gunasena
- National Hospital for Respiratory Diseases, Welisara, Sri Lanka
| | - Aruna D. DeSilva
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
- Faculty of Medicine, General Sir John Kotelawala Defense University, Ratmalana, Sri Lanka
| | - Bjoern Peters
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
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3
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Cassotta A, Goldstein JD, Durini G, Jarrossay D, Baggi Menozzi F, Venditti M, Russo A, Falcone M, Lanzavecchia A, Gagliardi MC, Latorre D, Sallusto F. Broadly reactive human CD4 + T cells against Enterobacteriaceae are found in the naïve repertoire and are clonally expanded in the memory repertoire. Eur J Immunol 2021; 51:648-661. [PMID: 33226131 PMCID: PMC7986685 DOI: 10.1002/eji.202048630] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 09/15/2020] [Accepted: 11/19/2020] [Indexed: 12/13/2022]
Abstract
Enterobacteriaceae are a large family of Gram-negative bacteria that includes both commensals and opportunistic pathogens. The latter can cause severe nosocomial infections, with outbreaks of multi-antibiotics resistant strains, thus being a major public health threat. In this study, we report that Enterobacteriaceae-reactive memory Th cells were highly enriched in a CCR6+ CXCR3+ Th1*/17 cell subset and produced IFN-γ, IL-17A, and IL-22. This T cell subset was severely reduced in septic patients with K. pneumoniae bloodstream infection who also selectively lacked circulating K. pneumonie-reactive T cells. By combining heterologous antigenic stimulation, single cell cloning and TCR Vβ sequencing, we demonstrate that a large fraction of memory Th cell clones was broadly cross-reactive to several Enterobacteriaceae species. These cross-reactive Th cell clones were expanded in vivo and a large fraction of them recognized the conserved outer membrane protein A antigen. Interestingly, Enterobacteriaceae broadly cross-reactive T cells were also prominent among in vitro primed naïve T cells. Collectively, these data point to the existence of immunodominant T cell epitopes shared among different Enterobacteriaceae species and targeted by cross-reactive T cells that are readily found in the pre-immune repertoire and are clonally expanded in the memory repertoire.
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Affiliation(s)
- Antonino Cassotta
- Institute for Research in BiomedicineUniversità della Svizzera italianaBellinzonaSwitzerland
- Institute of MicrobiologyETH ZurichSwitzerland
| | - Jérémie D. Goldstein
- Institute for Research in BiomedicineUniversità della Svizzera italianaBellinzonaSwitzerland
| | - Greta Durini
- Institute for Research in BiomedicineUniversità della Svizzera italianaBellinzonaSwitzerland
| | - David Jarrossay
- Institute for Research in BiomedicineUniversità della Svizzera italianaBellinzonaSwitzerland
| | | | - Mario Venditti
- Department of Public Health and Infectious DiseasesSapienza University of RomeRomeItaly
| | - Alessandro Russo
- Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Marco Falcone
- Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Antonio Lanzavecchia
- Institute for Research in BiomedicineUniversità della Svizzera italianaBellinzonaSwitzerland
| | | | - Daniela Latorre
- Institute for Research in BiomedicineUniversità della Svizzera italianaBellinzonaSwitzerland
- Institute of MicrobiologyETH ZurichSwitzerland
| | - Federica Sallusto
- Institute for Research in BiomedicineUniversità della Svizzera italianaBellinzonaSwitzerland
- Institute of MicrobiologyETH ZurichSwitzerland
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Sidney J, Peters B, Sette A. Epitope prediction and identification- adaptive T cell responses in humans. Semin Immunol 2020; 50:101418. [PMID: 33131981 DOI: 10.1016/j.smim.2020.101418] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/24/2020] [Accepted: 10/22/2020] [Indexed: 12/16/2022]
Abstract
Epitopes, in the context of T cell recognition, are short peptides typically derived by antigen processing, and presented on the cell surface bound to MHC molecules (HLA molecules in humans) for TCR scrutiny. The identification of epitopes is a context-dependent process, with consideration given to, for example, the source pathogen and protein, the host organism, and state of the immune reaction (e.g., following natural infection, vaccination, etc.). In the following review, we consider the various approaches used to define T cell epitopes, including both bioinformatic and experimental approaches, and discuss the concepts of immunodominance and immunoprevalence. We also discuss HLA polymorphism and epitope restriction, and the resulting impact on the identification of, and potential population coverage afforded by, epitopes or epitope-based vaccines. Finally, some examples of the practical application of T cell epitope identification are provided, showing how epitopes have been valuable for deriving novel immunological insights in the context of the immune response to various pathogens and allergens.
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Affiliation(s)
- John Sidney
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA
| | - Bjoern Peters
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, La Jolla, CA, 92037, USA
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego, La Jolla, CA, 92037, USA.
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5
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Huang H, Wang C, Rubelt F, Scriba TJ, Davis MM. Analyzing the Mycobacterium tuberculosis immune response by T-cell receptor clustering with GLIPH2 and genome-wide antigen screening. Nat Biotechnol 2020; 38:1194-1202. [PMID: 32341563 PMCID: PMC7541396 DOI: 10.1038/s41587-020-0505-4] [Citation(s) in RCA: 235] [Impact Index Per Article: 58.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 03/31/2020] [Indexed: 12/13/2022]
Abstract
CD4+ T cells are critical to fighting pathogens, but a comprehensive analysis of human T-cell specificities is hindered by the diversity of HLA alleles (>20,000) and the complexity of many pathogen genomes. We previously described GLIPH, an algorithm to cluster T-cell receptors (TCRs) that recognize the same epitope and to predict their HLA restriction, but this method loses efficiency and accuracy when >10,000 TCRs are analyzed. Here we describe an improved algorithm, GLIPH2, that can process millions of TCR sequences. We used GLIPH2 to analyze 19,044 unique TCRβ sequences from 58 individuals latently infected with Mycobacterium tuberculosis (Mtb) and to group them according to their specificity. To identify the epitopes targeted by clusters of Mtb-specific T cells, we carried out a screen of 3,724 distinct proteins covering 95% of Mtb protein-coding genes using artificial antigen-presenting cells (aAPCs) and reporter T cells. We found that at least five PPE (Pro-Pro-Glu) proteins are targets for T-cell recognition in Mtb.
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Affiliation(s)
- Huang Huang
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Chunlin Wang
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Florian Rubelt
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine and Division of Immunology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Mark M Davis
- Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Stanford, CA, USA.
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
- The Howard Hughes Medical Institute, Stanford University School of Medicine, Stanford, CA, USA.
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Abstract
Immunoinformatics is a discipline that applies methods of computer science to study and model the immune system. A fundamental question addressed by immunoinformatics is how to understand the rules of antigen presentation by MHC molecules to T cells, a process that is central to adaptive immune responses to infections and cancer. In the modern era of personalized medicine, the ability to model and predict which antigens can be presented by MHC is key to manipulating the immune system and designing strategies for therapeutic intervention. Since the MHC is both polygenic and extremely polymorphic, each individual possesses a personalized set of MHC molecules with different peptide-binding specificities, and collectively they present a unique individualized peptide imprint of the ongoing protein metabolism. Mapping all MHC allotypes is an enormous undertaking that cannot be achieved without a strong bioinformatics component. Computational tools for the prediction of peptide-MHC binding have thus become essential in most pipelines for T cell epitope discovery and an inescapable component of vaccine and cancer research. Here, we describe the development of several such tools, from pioneering efforts to the current state-of-the-art methods, that have allowed for accurate predictions of peptide binding of all MHC molecules, even including those that have not yet been characterized experimentally.
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Affiliation(s)
- Morten Nielsen
- Department of Health Technology, Technical University of Denmark, DK-2800 Kongens Lyngby, Denmark
- Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, CP 1650 San Martin, Buenos Aires, Argentina
| | - Massimo Andreatta
- Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, CP 1650 San Martin, Buenos Aires, Argentina
| | - Bjoern Peters
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, California 92037, USA
- Department of Medicine, University of California, San Diego, La Jolla, California 92093, USA
| | - Søren Buus
- Department of Immunology and Microbiology, Faculty of Health Sciences, University of Copenhagen, DK-2200 Copenhagen, Denmark
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7
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Tian Y, da Silva Antunes R, Sidney J, Lindestam Arlehamn CS, Grifoni A, Dhanda SK, Paul S, Peters B, Weiskopf D, Sette A. A Review on T Cell Epitopes Identified Using Prediction and Cell-Mediated Immune Models for Mycobacterium tuberculosis and Bordetella pertussis. Front Immunol 2018; 9:2778. [PMID: 30555469 PMCID: PMC6281829 DOI: 10.3389/fimmu.2018.02778] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Accepted: 11/12/2018] [Indexed: 01/01/2023] Open
Abstract
In the present review, we summarize work from our as well as other groups related to the characterization of bacterial T cell epitopes, with a specific focus on two important pathogens, namely, Mycobacterium tuberculosis (Mtb), the bacterium that causes tuberculosis (TB), and Bordetella pertussis (BP), the bacterium that causes whooping cough. Both bacteria and their associated diseases are of large societal significance. Although vaccines exist for both pathogens, their efficacy is incomplete. It is widely thought that defects and/or alteration in T cell compartments are associated with limited vaccine effectiveness. As discussed below, a full genome-wide map was performed in the case of Mtb. For BP, our focus has thus far been on the antigens contained in the acellular vaccine; a full genome-wide screen is in the planning stage. Nevertheless, the sum-total of the results in the two different bacterial systems allows us to exemplify approaches and techniques that we believe are generally applicable to the mapping and characterization of human immune responses to bacterial pathogens. Finally, we add, as a disclaimer, that this review by design is focused on the work produced by our laboratory as an illustration of approaches to the study of T cell responses to Mtb and BP, and is not meant to be comprehensive, nor to detract from the excellent work performed by many other groups.
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Affiliation(s)
- Yuan Tian
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States
| | | | - John Sidney
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States
| | | | - Alba Grifoni
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Sandeep Kumar Dhanda
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Sinu Paul
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Bjoern Peters
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States.,Department of Medicine, University of California San Diego, La Jolla, CA, United States
| | - Daniela Weiskopf
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States
| | - Alessandro Sette
- Division of Vaccine Discovery, La Jolla Institute for Immunology, La Jolla, CA, United States.,Department of Medicine, University of California San Diego, La Jolla, CA, United States
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8
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Joosten SA, van Meijgaarden KE, Arend SM, Prins C, Oftung F, Korsvold GE, Kik SV, Arts RJ, van Crevel R, Netea MG, Ottenhoff TH. Mycobacterial growth inhibition is associated with trained innate immunity. J Clin Invest 2018; 128:1837-1851. [PMID: 29461976 DOI: 10.1172/jci97508] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 02/13/2018] [Indexed: 12/29/2022] Open
Abstract
The lack of defined correlates of protection hampers development of vaccines against tuberculosis (TB). In vitro mycobacterial outgrowth assays are thought to better capture the complexity of the human host/Mycobacterium tuberculosis (Mtb) interaction. Here, we used a mycobacterial growth inhibition assay (MGIA) based on peripheral blood mononuclear cells to investigate the capacity to control outgrowth of bacille Calmette-Guérin (BCG). Interestingly, strong control of BCG outgrowth was observed almost exclusively in individuals with recent exposure to Mtb, but not in (long-term) latent TB infection, and only modestly in BCG vaccinees. Mechanistically, control of mycobacterial outgrowth strongly correlated with the presence of a CD14dim monocyte population, but also required the presence of T cells. The nonclassical monocytes produced CXCL10, and CXCR3 receptor blockade inhibited the capacity to control BCG outgrowth. Expression of CXCR3 splice variants was altered in recently Mtb-exposed individuals. Cytokines previously associated with trained immunity were detected in MGIA supernatants, and CXCL9, CXCL10, and CXCL11 represent new markers of trained immunity. These data indicate that CXCR3 ligands are associated with trained immunity and are critical factors in controlling mycobacterial outgrowth. In conclusion, control of mycobacterial outgrowth early after exposure to Mtb is the result of trained immunity mediated by a CXCL10-producing nonclassical CD14dim monocyte subset.
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Affiliation(s)
- Simone A Joosten
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
| | | | - Sandra M Arend
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
| | - Corine Prins
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
| | - Fredrik Oftung
- Division of Infection Control and Environmental Health, Department of Infectious Disease Immunology, Norwegian Institute of Public Health, Oslo, Norway
| | - Gro Ellen Korsvold
- Division of Infection Control and Environmental Health, Department of Infectious Disease Immunology, Norwegian Institute of Public Health, Oslo, Norway
| | - Sandra V Kik
- KNCV Tuberculosis Foundation, The Hague, Netherlands
| | - Rob Jw Arts
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Netherlands
| | - Reinout van Crevel
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Netherlands
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Netherlands
| | - Tom Hm Ottenhoff
- Department of Infectious Diseases, Leiden University Medical Center, Leiden, Netherlands
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9
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Corral-Fernández NE, Cortes-García JD, Bruno RS, Romano-Moreno S, Medellín-Garibay SE, Magaña-Aquino M, Salazar-González RA, González-Amaro R, Portales-Pérez DP. Analysis of transcription factors, microRNAs and cytokines involved in T lymphocyte differentiation in patients with tuberculosis after directly observed treatment short-course. Tuberculosis (Edinb) 2017; 105:1-8. [DOI: 10.1016/j.tube.2017.03.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 03/06/2017] [Accepted: 03/27/2017] [Indexed: 01/06/2023]
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10
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A Multi-Compartment Hybrid Computational Model Predicts Key Roles for Dendritic Cells in Tuberculosis Infection. COMPUTATION 2016; 4. [PMID: 28989808 PMCID: PMC5627612 DOI: 10.3390/computation4040039] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Tuberculosis (TB) is a world-wide health problem with approximately 2 billion people infected with Mycobacterium tuberculosis (Mtb, the causative bacterium of TB). The pathologic hallmark of Mtb infection in humans and Non-Human Primates (NHPs) is the formation of spherical structures, primarily in lungs, called granulomas. Infection occurs after inhalation of bacteria into lungs, where resident antigen-presenting cells (APCs), take up bacteria and initiate the immune response to Mtb infection. APCs traffic from the site of infection (lung) to lung-draining lymph nodes (LNs) where they prime T cells to recognize Mtb. These T cells, circulating back through blood, migrate back to lungs to perform their immune effector functions. We have previously developed a hybrid agent-based model (ABM, labeled GranSim) describing in silico immune cell, bacterial (Mtb) and molecular behaviors during tuberculosis infection and recently linked that model to operate across three physiological compartments: lung (infection site where granulomas form), lung draining lymph node (LN, site of generation of adaptive immunity) and blood (a measurable compartment). Granuloma formation and function is captured by a spatio-temporal model (i.e., ABM), while LN and blood compartments represent temporal dynamics of the whole body in response to infection and are captured with ordinary differential equations (ODEs). In order to have a more mechanistic representation of APC trafficking from the lung to the lymph node, and to better capture antigen presentation in a draining LN, this current study incorporates the role of dendritic cells (DCs) in a computational fashion into GranSim.
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11
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Farrell D, Jones G, Pirson C, Malone K, Rue-Albrecht K, Chubb AJ, Vordermeier M, Gordon SV. Integrated computational prediction and experimental validation identifies promiscuous T cell epitopes in the proteome of Mycobacterium bovis. Microb Genom 2016; 2:e000071. [PMID: 28348866 PMCID: PMC5320590 DOI: 10.1099/mgen.0.000071] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Accepted: 05/26/2016] [Indexed: 11/18/2022] Open
Abstract
The discovery of novel antigens is an essential requirement in devising new diagnostics or vaccines for use in control programmes against human tuberculosis (TB) and bovine tuberculosis (bTB). Identification of potential epitopes recognised by CD4+ T cells requires prediction of peptide binding to MHC class-II, an obligatory prerequisite for T cell recognition. To comprehensively prioritise potential MHC-II-binding epitopes from Mycobacterium bovis, the agent of bTB and zoonotic TB in humans, we integrated three binding prediction methods with the M. bovisproteome using a subset of human HLA alleles to approximate the binding of epitope-containing peptides to the bovine MHC class II molecule BoLA-DRB3. Two parallel strategies were then applied to filter the resulting set of binders: identification of the top-scoring binders or clusters of binders. Our approach was tested experimentally by assessing the capacity of predicted promiscuous peptides to drive interferon-γ secretion from T cells of M. bovis infected cattle. Thus, 376 20-mer peptides, were synthesised (270 predicted epitopes, 94 random peptides with low predictive scores and 12 positive controls of known epitopes). The results of this validation demonstrated significant enrichment (>24 %) of promiscuously recognised peptides predicted in our selection strategies, compared with randomly selected peptides with low prediction scores. Our strategy offers a general approach to the identification of promiscuous epitopes tailored to target populations where there is limited knowledge of MHC allelic diversity.
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Affiliation(s)
- Damien Farrell
- 1School of Veterinary Medicine, University College Dublin, Dublin D4, Ireland
| | - Gareth Jones
- 2Department of Bacteriology, Animal and Plant Health Agency, New Haw, Surrey KT15 3NB, UK
| | - Christopher Pirson
- 2Department of Bacteriology, Animal and Plant Health Agency, New Haw, Surrey KT15 3NB, UK
| | - Kerri Malone
- 1School of Veterinary Medicine, University College Dublin, Dublin D4, Ireland
| | - Kevin Rue-Albrecht
- 1School of Veterinary Medicine, University College Dublin, Dublin D4, Ireland.,3School of Agriculture and Food Science, University College Dublin, Dublin 4, Ireland
| | - Anthony J Chubb
- 4School of Medicine, University College Dublin, Dublin D4, Ireland
| | - Martin Vordermeier
- 2Department of Bacteriology, Animal and Plant Health Agency, New Haw, Surrey KT15 3NB, UK
| | - Stephen V Gordon
- 6School of Biomolecular and Biomedical Science, University College Dublin, Dublin 4, Ireland.,5Conway Institute of Biomolecular and Biomedical Science, University College Dublin, Dublin D4, Ireland.,1School of Veterinary Medicine, University College Dublin, Dublin D4, Ireland.,4School of Medicine, University College Dublin, Dublin D4, Ireland
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Sveinbjornsson G, Gudbjartsson DF, Halldorsson BV, Kristinsson KG, Gottfredsson M, Barrett JC, Gudmundsson LJ, Blondal K, Gylfason A, Gudjonsson SA, Helgadottir HT, Jonasdottir A, Jonasdottir A, Karason A, Kardum LB, Knežević J, Kristjansson H, Kristjansson M, Love A, Luo Y, Magnusson OT, Sulem P, Kong A, Masson G, Thorsteinsdottir U, Dembic Z, Nejentsev S, Blondal T, Jonsdottir I, Stefansson K. HLA class II sequence variants influence tuberculosis risk in populations of European ancestry. Nat Genet 2016; 48:318-22. [PMID: 26829749 PMCID: PMC5081101 DOI: 10.1038/ng.3498] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 01/04/2016] [Indexed: 12/15/2022]
Abstract
Mycobacterium tuberculosis infections cause 9 million new tuberculosis cases and 1.5 million deaths annually. To identify variants conferring risk of tuberculosis, we tested 28.3 million variants identified through whole-genome sequencing of 2,636 Icelanders for association with tuberculosis (8,162 cases and 277,643 controls), pulmonary tuberculosis (PTB) and M. tuberculosis infection. We found association of three variants in the region harboring genes encoding the class II human leukocyte antigens (HLAs): rs557011[T] (minor allele frequency (MAF) = 40.2%), associated with M. tuberculosis infection (odds ratio (OR) = 1.14, P = 3.1 × 10(-13)) and PTB (OR = 1.25, P = 5.8 × 10(-12)), and rs9271378[G] (MAF = 32.5%), associated with PTB (OR = 0.78, P = 2.5 × 10(-12))--both located between HLA-DQA1 and HLA-DRB1--and a missense variant encoding p.Ala210Thr in HLA-DQA1 (MAF = 19.1%, rs9272785), associated with M. tuberculosis infection (P = 9.3 × 10(-9), OR = 1.14). We replicated association of these variants with PTB in samples of European ancestry from Russia and Croatia (P < 5.9 × 10(-4)). These findings show that the HLA class II region contributes to genetic risk of tuberculosis, possibly through reduced presentation of protective M. tuberculosis antigens to T cells.
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Affiliation(s)
- Gardar Sveinbjornsson
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Daniel F. Gudbjartsson
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Bjarni V. Halldorsson
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
- School of Science and Engineering, Reykjavik University, Reykjavík, Iceland
| | - Karl G. Kristinsson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Clinical Microbiology, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Magnus Gottfredsson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Infectious Diseases, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Jeffrey C. Barrett
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Kai Blondal
- Division of Communicable Disease Prevention and Control, Primary Health Care of the Capital Area, Reykjavik, Iceland
| | | | | | | | | | | | - Ari Karason
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
| | - Ljiljana Bulat Kardum
- Department of Pulmology, Clinic of Internal Medicine, Clinical Hospital Center, University of Rijeka, Rijeka, Croatia
| | - Jelena Knežević
- Laboratory of Molecular Genetics, Department of Oral Biology, Faculty of Dentistry, University of Oslo, Oslo, Norway
- Division of Molecular Medicine, Ruđer Bošković Institute, Zagreb, Croatia
| | - Helgi Kristjansson
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Mar Kristjansson
- Department of Infectious Diseases, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Arthur Love
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Virology, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Yang Luo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, UK
| | | | - Patrick Sulem
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
| | - Augustine Kong
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
| | - Gisli Masson
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
| | - Unnur Thorsteinsdottir
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Zlatko Dembic
- Laboratory of Molecular Genetics, Department of Oral Biology, Faculty of Dentistry, University of Oslo, Oslo, Norway
| | - Sergey Nejentsev
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Thorsteinn Blondal
- Division of Communicable Disease Prevention and Control, Primary Health Care of the Capital Area, Reykjavik, Iceland
| | - Ingileif Jonsdottir
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- Department of Immunology, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE genetics / Amgen Inc., Sturlugata 8, Reykjavik, Iceland
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
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Mortier MC, Jongert E, Mettens P, Ruelle JL. Sequence conservation analysis and in silico human leukocyte antigen-peptide binding predictions for the Mtb72F and M72 tuberculosis candidate vaccine antigens. BMC Immunol 2015; 16:63. [PMID: 26493839 PMCID: PMC4619029 DOI: 10.1186/s12865-015-0119-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 09/08/2015] [Indexed: 11/16/2022] Open
Abstract
Background Requisites for an efficacious tuberculosis (TB) vaccine are a minimal genomic diversity among infectious Mycobacterium tuberculosis strains for the selected antigen, and the capability to induce robust T-cell responses in the majority of human populations. A tool in the identification of putative T-cell epitopes is in silico prediction of major histocompatibility complex (MHC)-peptide binding. Candidate TB vaccine antigen Mtb72F and its successor M72 are recombinant fusion proteins derived from Mtb32A and Mtb39A (encoded by Rv0125 and Rv1196, respectively). Adjuvanted Mtb72F and M72 candidate vaccines were shown to induce CD4+ T-cell responses in European, US, African and Asian populations. Methods Sequence conservation of Mtb32A, Mtb39A, Mtb72F and M72 among 46 strains (prevalent Mycobacterium strains causing human TB disease, and H37Ra) was assessed by multiple alignments using ClustalX. For Mtb32A, Mtb39A and Mtb72F, 15-mer human leukocyte antigen (HLA)-class II-binding peptides were predicted for 158 DRB1 alleles prevailing in populations with high TB burden, 6 DRB3/4/5, 8 DQ and 6 DP alleles, using NetMHCII-pan-3.0. Results for 3 DRB1 alleles were compared with previously published allele-matched in vitro binding data. Additional analyses were done for M72. Nonameric MHC class I-binding peptides in Mtb72F were predicted for three alleles representative of class I supertypes A02, A03 and B07, using seven prediction algorithms. Results Sequence identity among strains was ≥98 % for each protein. Residue changes in Mtb39A comprised primarily single residue or nucleotide insertions and/or deletions in repeat regions, and were observed in 67 % of strains. For Mtb72F, 156 DRB1, 6 DRB3/4/5, 7 DQ and 5 DP alleles were predicted to contain at least one MHC class II-binding peptide, and class I-binding peptides were predicted for each HLA-A/B allele. Comparison of predicted MHC-II-binding peptides with experimental data indicated that the algorithm’s sensitivity and specificity were variable among alleles. Conclusions The sequences from which Mtb72F and M72 are derived are highly conserved among representative Mycobacterium strains. Predicted putative T-cell epitopes in M72 and/or Mtb72F covered a wide array of HLA alleles. In silico binding predictions for class I- and II-binding putative epitopes can be complemented with biochemical verification of HLA binding capacity, processing and immunogenicity of the predicted peptides. Electronic supplementary material The online version of this article (doi:10.1186/s12865-015-0119-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
| | - Erik Jongert
- GSK Vaccines, Rue de l'Institut 89, 1330, Rixensart, Belgium.
| | - Pascal Mettens
- GSK Vaccines, Rue de l'Institut 89, 1330, Rixensart, Belgium.
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Mothé BR, Lindestam Arlehamn CS, Dow C, Dillon MBC, Wiseman RW, Bohn P, Karl J, Golden NA, Gilpin T, Foreman TW, Rodgers MA, Mehra S, Scriba TJ, Flynn JL, Kaushal D, O'Connor DH, Sette A. The TB-specific CD4(+) T cell immune repertoire in both cynomolgus and rhesus macaques largely overlap with humans. Tuberculosis (Edinb) 2015; 95:722-735. [PMID: 26526557 DOI: 10.1016/j.tube.2015.07.005] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Revised: 07/23/2015] [Accepted: 07/26/2015] [Indexed: 01/05/2023]
Abstract
Non-human primate (NHP) models of tuberculosis (TB) immunity and pathogenesis, especially rhesus and cynomolgus macaques, are particularly attractive because of the high similarity of the human and macaque immune systems. However, little is known about the MHC class II epitopes recognized in macaques, thus hindering the establishment of immune correlates of immunopathology and protective vaccination. We characterized immune responses in rhesus macaques vaccinated against and/or infected with Mycobacterium tuberculosis (Mtb), to a panel of antigens currently in human vaccine trials. We defined 54 new immunodominant CD4(+) T cell epitopes, and noted that antigens immunodominant in humans are also immunodominant in rhesus macaques, including Rv3875 (ESAT-6) and Rv3874 (CFP10). Pedigree and inferred restriction analysis demonstrated that this phenomenon was not due to common ancestry or inbreeding, but rather presentation by common alleles, as well as, promiscuous binding. Experiments using a second cohort of rhesus macaques demonstrated that a pool of epitopes defined in the previous experiments can be used to detect T cell responses in over 75% of individual monkeys. Additionally, 100% of cynomolgus macaques, irrespective of their latent or active TB status, responded to rhesus and human defined epitope pools. Thus, these findings reveal an unexpected general repertoire overlap between MHC class II epitopes recognized in both species of macaques and in humans, showing that epitope pools defined in humans can also be used to characterize macaque responses, despite differences in species and antigen exposure. The results have general implications for the evaluation of new vaccines and diagnostics in NHPs, and immediate applicability in the setting of macaque models of TB.
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Affiliation(s)
- Bianca R Mothé
- Department of Biology, CSUSM, San Marcos, CA 92096, USA; La Jolla Institute for Allergy & Immunology, La Jolla, CA 92037, USA.
| | | | - Courtney Dow
- Department of Biology, CSUSM, San Marcos, CA 92096, USA
| | - Myles B C Dillon
- La Jolla Institute for Allergy & Immunology, La Jolla, CA 92037, USA
| | - Roger W Wiseman
- Wisconsin National Primate Research Center and Department of Pathology and Laboratory Medicine, UW-Madison, Madison, WI 53706, USA
| | - Patrick Bohn
- Wisconsin National Primate Research Center and Department of Pathology and Laboratory Medicine, UW-Madison, Madison, WI 53706, USA
| | - Julie Karl
- Wisconsin National Primate Research Center and Department of Pathology and Laboratory Medicine, UW-Madison, Madison, WI 53706, USA
| | - Nadia A Golden
- Tulane National Primate Research Center, Covington, LA 70433, USA
| | - Trey Gilpin
- Department of Biology, CSUSM, San Marcos, CA 92096, USA
| | - Taylor W Foreman
- Tulane National Primate Research Center, Covington, LA 70433, USA
| | - Mark A Rodgers
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15216, USA
| | - Smriti Mehra
- Tulane National Primate Research Center, Covington, LA 70433, USA; Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University Baton Rouge, LA 70803, USA
| | - Thomas J Scriba
- South African Tuberculosis Vaccine Initiative, Institute of Infectious Disease and Molecular Medicine, and Department of Pediatrics and Child Health, University of Cape Town, Cape Town 7925, South Africa
| | - JoAnne L Flynn
- Department of Microbiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15216, USA
| | - Deepak Kaushal
- Tulane National Primate Research Center, Covington, LA 70433, USA
| | - David H O'Connor
- Wisconsin National Primate Research Center and Department of Pathology and Laboratory Medicine, UW-Madison, Madison, WI 53706, USA
| | - Alessandro Sette
- La Jolla Institute for Allergy & Immunology, La Jolla, CA 92037, USA
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Chin ST, Ignatius J, Suraiya S, Tye GJ, Sarmiento ME, Acosta A, Norazmi MN, Lim TS. Comparative study of IgA VH 3 gene usage in healthy TST(-) and TST(+) population exposed to tuberculosis: deep sequencing analysis. Immunology 2015; 144:302-11. [PMID: 25158076 DOI: 10.1111/imm.12372] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Revised: 08/07/2014] [Accepted: 08/21/2014] [Indexed: 11/28/2022] Open
Abstract
The acquired immune response against tuberculosis is commonly associated with T-cell responses with little known about the role of B cells or antibodies. There have been suggestions that B cells and humoral immunity can modulate the immune response to Mycobacterium tuberculosis. However, the mechanisms involving B-cell responses in M. tuberculosis are not fully understood, in particular the antibody gene preferences. We hypothesized that a preferential use of V genes can be seen associated with resistance to infection mainly in the IgA isotype, which is of prominent importance for infection by pathogens via the mucosal route. We studied healthy individuals with long-term exposure to tuberculosis, infected (TST(+) ) and uninfected TST(-) ) with M. tuberculosis. From a total of 22 V genes analysed, the TST(-) population preferred the VH 3-23 and Vκ1 genes. The VH 3-23 genes were subsequently subjected to 454 amplicon sequencing. The TST(-) population showed a higher frequency of the D3-10 segment compared with the D3-22 segment for the TST(+) population. The J segment usage pattern was similar for both populations with J4 segment being used the most. A preferential pairing of J4 segments to D3-3 was seen for the TST(-) population. The antibodyome difference between both populations suggests a preference for antibodies with VH 3-23, D3-3, JH 4 gene usage by the TST(-) population that could be associated with resistance to infection with M. tuberculosis.
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Affiliation(s)
- Siang Tean Chin
- Institute for Research in Molecular Medicine, Universiti Sains Malaysia, Minden, Penang, Malaysia
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Ivanyi J, Ottenhoff THM. Significance of antigen and epitope specificity in tuberculosis. Front Immunol 2014; 5:524. [PMID: 25379038 PMCID: PMC4206936 DOI: 10.3389/fimmu.2014.00524] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2014] [Accepted: 10/06/2014] [Indexed: 11/13/2022] Open
Affiliation(s)
- Juraj Ivanyi
- Guy's Hospital Campus of Kings College London , London , UK
| | - Tom H M Ottenhoff
- Department of Infectious Diseases, Leiden University Medical Center , Leiden , Netherlands
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